Piekutowska, M.; Niedbała, G.; Piskier, T.; Lenartowicz, T.; Pilarski, K.; Wojciechowski, T.; Pilarska, A.A.; Czechowska-Kosacka, A.
The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest. Agronomy 2021, 11, 885.
https://doi.org/10.3390/agronomy11050885
AMA Style
Piekutowska M, Niedbała G, Piskier T, Lenartowicz T, Pilarski K, Wojciechowski T, Pilarska AA, Czechowska-Kosacka A.
The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest. Agronomy. 2021; 11(5):885.
https://doi.org/10.3390/agronomy11050885
Chicago/Turabian Style
Piekutowska, Magdalena, Gniewko Niedbała, Tomasz Piskier, Tomasz Lenartowicz, Krzysztof Pilarski, Tomasz Wojciechowski, Agnieszka A. Pilarska, and Aneta Czechowska-Kosacka.
2021. "The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest" Agronomy 11, no. 5: 885.
https://doi.org/10.3390/agronomy11050885
APA Style
Piekutowska, M., Niedbała, G., Piskier, T., Lenartowicz, T., Pilarski, K., Wojciechowski, T., Pilarska, A. A., & Czechowska-Kosacka, A.
(2021). The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest. Agronomy, 11(5), 885.
https://doi.org/10.3390/agronomy11050885